The essence of moving the organizations and companies toward the implementation of the Business Intelligence (BI) in the current competitive and complex atmosphere is not unfamiliar for any manager. By online analytic processing, the Business Intelligence analyzes the business data and creates a suitable context for making accurate and smart decisions. Neither as a product nor as a system but as the architecture and a new approach, the Business Intelligence has contained a set of analytic and applied programs. Since the managers have to identify the required infrastructures in creating the mentioned architecture before any applicable measures, the probable failures must be also considered and then solved by the managers. This study has been carried out in the Mellat Bank, meanwhile, the infrastructures for creating the BI has been identified and evaluated and subsequently, the findings has been discussed as well.

This paper presents an empirical study to investigate different factors for commercializing ideas in food industry. The study uses structural equation modeling, by designing a questionnaire in Likert scale, and distributes it among 218 randomly selected experts in food industry in city of Tehran, Iran. Cronbach alpha has been calculated as 0.864, which is well above the acceptable level. The study uses structural equation modeling as well as some descriptive tests to examine the hypotheses of the survey. The results confirm that management of ideas, the feasibility of the ideas, market research and advocacy strategies influence the most on commercializing ideas in food industry.

In recent years, there have been significant changes on governmental agencies than any other organizations. There is also an agreement that any improvement on economy requires an efficient government. Governments must be responsive against their people and society but there are evidences that many governmental agencies are not able to meet people’s needs despite access to financial resources because of lack of entrepreneurial approach. This paper presents an empirical investigation to study the role of entrepreneurship governmental groups on macro-economic strategies. The study uses structural equation modeling, by designing a questionnaire in Likert scale, and distributes it among 384 randomly selected university professors in city of Tehran, Iran. The results confirm that technology-based economy, creative human resources and training, competition in the economic environment, knowledge creation, dissemination and application and promoting a culture of innovation and entrepreneurship influence positively on entrepreneurship governmental groups. In addition, the positive effects of entrepreneurship governmental groups on national commitment and management are confirmed.

Consumer perception plays essential role for market development. Consumer perception can be defined as a marketing concept, which includes a customer & apos; s impression, awareness and/or consciousness about a firm or its offerings. This paper investigates the effect of customer relationship management factors on consumer perception in Iranian banking industry. The study designs a questionnaire in Likert scale and distributes it among 300 randomly selected managers who worked for Bank Saderat Iran. Cronbach alpha has been calculated as 0.788, which is well above the minimum acceptable level. Using principal component analysis, the study has determined that six factors influences the most on consumer perception; namely: Customer oriented, Organizational strategy, Organizational resources, Organizational structure and Organizational culture.

A value chain is a chain of necessary activities that a company operating in a specific industry executes in order to deliver a valuable product or service for the market. Value chain plays essential role for development of a successful business unit. This paper presents an empirical investigation to study the effects of value chain on capabilities of knowledge production, implementation and distribution. The impact is also studied for effective knowledge implementation for economic development. Using historical economic data of World Bank database gathered from member countries of the Organization of Islamic Cooperation, the study has detected positive and meaningful effects of Value Chain Presence on Knowledge Economy Index and Knowledge Index.

The purpose of conducting this research is to establish a conceptual model to improve the performance of new product development in organizations regarding variables of disruptive innovation, team vision, knowledge management, and fuzzy-front end. In this research, the structural equation modelling (SEM) is used to study the model. Also, the explanatory and confirmatory factor analysis are used to extract dimensions of fuzzy-front end and disruptive innovation variables. Research data have been gathered from 109 experts of development and research department of Iran Khodro manufacturing company. The results of research show that disruptive innovation may have very impressive effects on new product development performance. Also, team approach has direct effect on fuzzy-front end. On the other hand, knowledge management has a key role in new product development and organizations can increase the efficiency of new product development by managing their knowledge and sharing them and guarantee the organization success.

This paper investigates the role of quality of supply chain components on brand promise. The dimensions of supply chain relationships include: communication, cooperation, commitment, independence, adaptability and reliability. The study uses the questionnaire developed by Fynes et al. (2005) [Fynes, B., Voss, C., & de B?rca, S. (2005). The impact of supply chain relationship quality on quality performance. International Journal of Production Economics, 96(3), 339-354.]. The population of the study includes all auto part makers and the study chooses a sample of 384 people for the study. Using structural equation modeling, the study has confirmed that all six components influence positively on brand promise.

In this study, a volume flexible inventory system for deteriorating items with stock & time dependent demand has been developed over a finite planning horizon. Shortages are permitted with partial backorder. Uncertainties are inherent in real inventory problems due to complexities of market situation. This uncertainty can be handled by the concept of randomness. As a result, backorder rate is taken as random and follows a probability distribution. All the costs are influenced by the learning effect. The optimal number of production cycles that minimize the total cost is considered. Numerical illustrations together with sensitivity analysis are given to elucidate the model. Furthermore, the numerical results of the finite planning horizon model have been plotted graphically.

Today, supply chains have been widely welcomed by industry researchers and the results of applying it may increase throughput, reduce cost, increase speed to meet customers’ needs and create competitive opportunities. This paper identifies a scientific method, which operates efficiently and effectively manages supply chain operations. In this paper, a computer simulation model is analyzed for analyzing the supply chain and the results are examined, accordingly. Using Taguchi design of experiment and running the proposed model under L27 scenarios, a two-objective optimization was performed on the estimated response surfaces, leading to a 60% increase in productivity and 40% reduction in waiting time.

This paper presents an empirical investigation for line balancing in aluminum industry. Assembly line problems (ALB) are divided into three types, single-model assembly lines to handle (easy) problems to build a product that is designed to build one kind of product, multiple and mixed model to design for different kinds of products. This paper is an effort to describe comprehensively the solution to the problem for single-model assembly lines using some practical software package named FLB. The primary objective of aluminum assembly line balancing is optimal deployment activities subject to various limitations. The preliminary results of this paper indicate that the implementation of line balancing could reduce make span, significantly.